Anirban Mukhopadhyay

152 papers A 7B 3Journal 89Unranked 47

Year	Rank	Type	Title / Venue / Authors
2026	—	`ed.`	Deep Generative Models - 5th MICCAI Workshop, DGM4MICCAI 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 23, 2025, Proceedings DGM4MICCAI@MICCAI Anirban Mukhopadhyay, Ilkay Öksüz, Sandy Engelhardt, Dorit Merhof, Yixuan Yuan
2026	J	`jnl`	Extreme cardiac MRI analysis under respiratory motion: Results of the CMRxMotion challenge. Medical Image Anal. Kang Wang, Chen Qin, Zhang Shi, Haoran Wang, Xiwen Zhang, Chen Chen, Cheng Ouyang, Chengliang Dai, Yuanhan Mo, Chenchen Dai, Xutong Kuang, Ruizhe Li, Xin Chen, Xiuzheng Yue, Song Tian, Alejandro Mora-Rubio, Kumaradevan Punithakumar, Shizhan Gong, Qi Dou, Sina Amirrajab, Yasmina Al Khalil, Cian M. Scannell, Lexiaozi Fan, Huili Yang, Xiaowu Sun, Rob J. van der Geest, Tewodros Weldebirhan Arega, Fabrice Mériaudeau, Caner Özer, Amin Ranem, John Kalkhof, Ilkay Öksüz, Anirban Mukhopadhyay, Abdul Qayyum, Moona Mazher, Steven A. Niederer, Carles García-Cabrera, Eric Arazo, Michal K. Grzeszczyk, Szymon Plotka, Wanqin Ma, Xiaomeng Li, Rongjun Ge, Yongqing Kou, Xinrong Chen, He Wang, Chengyan Wang, Wenjia Bai, Shuo Wang
2026	J	`jnl`	eNCApsulate: neural cellular automata for precision diagnosis on capsule endoscopes. Int. J. Comput. Assist. Radiol. Surg. Henry John Krumb, Anirban Mukhopadhyay
2025	J	`jnl`	ASMR: Angular Support for Malfunctioning Client Resilience in Federated Learning. CoRR Mirko Konstantin, Moritz Fuchs, Anirban Mukhopadhyay
2025	—	`conf`	Abstract: Neural Cellular Automata Learn and Predict on Low-Power Devices. Bildverarbeitung für die Medizin Nick Lemke, Mirko Konstantin, Henry John Krumb, John Kalkhof, Anirban Mukhopadhyay
2025	—	`ed.`	Deep Generative Models - 4th MICCAI Workshop, DGM4MICCAI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings DGM4MICCAI@MICCAI Anirban Mukhopadhyay, Ilkay Öksüz, Sandy Engelhardt, Dorit Merhof, Yixuan Yuan
2025	J	`jnl`	Don't Reach for the Stars: Rethinking Topology for Resilient Federated Learning. CoRR Mirko Konstantin, Anirban Mukhopadhyay
2025	—	`conf`	Equitable Federated Learning with NCA. MICCAI (14) Nick Lemke, Mirko Konstantin, Henry John Krumb, John Kalkhof, Jonathan Stieber, Anirban Mukhopadhyay
2025	J	`jnl`	Equitable Federated Learning with NCA. CoRR Nick Lemke, Mirko Konstantin, Henry John Krumb, John Kalkhof, Jonathan Stieber, Anirban Mukhopadhyay
2025	J	`jnl`	Extreme Cardiac MRI Analysis under Respiratory Motion: Results of the CMRxMotion Challenge. CoRR Kang Wang, Chen Qin, Zhang Shi, Haoran Wang, Xiwen Zhang, Chen Chen, Cheng Ouyang, Chengliang Dai, Yuanhan Mo, Chenchen Dai, Xutong Kuang, Ruizhe Li, Xin Chen, Xiuzheng Yue, Song Tian, Alejandro Mora-Rubio, Kumaradevan Punithakumar, Shizhan Gong, Qi Dou, Sina Amirrajab, Yasmina Al Khalil, Cian M. Scannell, Lexiaozi Fan, Huili Yang, Xiaowu Sun, Rob J. van der Geest, Tewodros Weldebirhan Arega, Fabrice Mériaudeau, Caner Özer, Amin Ranem, John Kalkhof, Ilkay Öksüz, Anirban Mukhopadhyay, Abdul Qayyum, Moona Mazher, Steven A. Niederer, Carles García-Cabrera, Eric Arazo, Michal K. Grzeszczyk, Szymon Plotka, Wanqin Ma, Xiaomeng Li, Rongjun Ge, Yongqing Kou, Xinrong Chen, He Wang, Chengyan Wang, Wenjia Bai, Shuo Wang
2025	—	`conf`	FDA's PCCP: Opportunities and Gaps. BRIDGE/DeCaF@MICCAI Niklas Babendererde, Amin Ranem, Moritz Fuchs, Camila González, Henry John Krumb, Anirban Mukhopadhyay
2025	A	`conf`	Federated Voxel Scene Graph for Intracranial Hemorrhage. WACV Antoine P. Sanner, Jonathan Stieber, Nils F. Grauhan, Suam Kim, Marc A. Brockmann, Ahmed E. Othman, Anirban Mukhopadhyay
2025	A	`conf`	Federated-Continual Dynamic Segmentation of Histopathology Guided by Barlow Continuity. WACV Niklas Babendererde, Haozhe Zhu, Moritz Fuchs, Jonathan Stieber, Anirban Mukhopadhyay
2025	J	`jnl`	Federated-Continual Dynamic Segmentation of Histopathology guided by Barlow Continuity. CoRR Niklas Babendererde, Haozhe Zhu, Moritz Fuchs, Jonathan Stieber, Anirban Mukhopadhyay
2025	A	`conf`	GAUDA: Generative Adaptive Uncertainty-Guided Diffusion-Based Augmentation for Surgical Segmentation. WACV Yannik Frisch, Christina Bornberg, Moritz Fuchs, Anirban Mukhopadhyay
2025	J	`jnl`	GAUDA: Generative Adaptive Uncertainty-guided Diffusion-based Augmentation for Surgical Segmentation. CoRR Yannik Frisch, Christina Bornberg, Moritz Fuchs, Anirban Mukhopadhyay
2025	J	`jnl`	IJCARS: IPCAI 2025 special issue - 16th international conference on information processing in computer-assisted interventions 2025. Int. J. Comput. Assist. Radiol. Surg. Sophia Bano, Sara Moccia, Anirban Mukhopadhyay
2025	J	`jnl`	MED-NCA: Bio-inspired medical image segmentation. Medical Image Anal. John Kalkhof, Niklas Ihm, Tim Köhler, Bjarne Gregori, Anirban Mukhopadhyay
2025	B	`conf`	MedSegDiffNCA: Diffusion Models With Neural Cellular Automata for Skin Lesion Segmentation. CBMS Avni Mittal, John Kalkhof, Anirban Mukhopadhyay, Arnav Bhavsar
2025	J	`jnl`	MedSegDiffNCA: Diffusion Models With Neural Cellular Automata for Skin Lesion Segmentation. CoRR Avni Mittal, John Kalkhof, Anirban Mukhopadhyay, Arnav Bhavsar
2025	A	`conf`	NCAdapt: Dynamic Adaptation with Domain-Specific Neural Cellular Automata for Continual Hippocampus Segmentation. WACV Amin Ranem, John Kalkhof, Anirban Mukhopadhyay
2025	J	`jnl`	OctreeNCA: Single-Pass 184 MP Segmentation on Consumer Hardware. CoRR Nick Lemke, John Kalkhof, Niklas Babendererde, Anirban Mukhopadhyay
2025	J	`jnl`	SASVi - Segment Any Surgical Video. CoRR Ssharvien Kumar R. Sivakumar, Yannik Frisch, Amin Ranem, Anirban Mukhopadhyay
2025	J	`jnl`	SASVi: segment any surgical video. Int. J. Comput. Assist. Radiol. Surg. Ssharvien Kumar R. Sivakumar, Yannik Frisch, Amin Ranem, Anirban Mukhopadhyay
2025	—	`conf`	SG2VID: Scene Graphs Enable Fine-Grained Control for Video Synthesis. MICCAI (9) Ssharvien Kumar R. Sivakumar, Yannik Frisch, Ghazal Ghazaei, Anirban Mukhopadhyay
2025	J	`jnl`	SG2VID: Scene Graphs Enable Fine-Grained Control for Video Synthesis. CoRR Ssharvien Kumar R. Sivakumar, Yannik Frisch, Ghazal Ghazaei, Anirban Mukhopadhyay
2025	J	`jnl`	SurGrID: Controllable Surgical Simulation via Scene Graph to Image Diffusion. CoRR Yannik Frisch, Ssharvien Kumar R. Sivakumar, Çaghan Köksal, Elsa Böhm, Felix Mathias Wagner, Adrian Gericke, Ghazal Ghazaei, Anirban Mukhopadhyay
2025	J	`jnl`	SurGrID: controllable surgical simulation via Scene Graph to Image Diffusion. Int. J. Comput. Assist. Radiol. Surg. Yannik Frisch, Ssharvien Kumar R. Sivakumar, Çaghan Köksal, Elsa Böhm, Felix Mathias Wagner, Adrian Gericke, Ghazal Ghazaei, Anirban Mukhopadhyay
2025	—	`conf`	The Influence of Artificial Intelligence Autonomy on Physicians Work Outcomes in Healthcare: A Lab-in-the-Field Experiment. HICSS Maximilian Grüning, Richard Henkenjohann, Moritz Fuchs, Thomas Dratsch, Daniel Pinto dos Santos, Moon Kim, Philipp Matthies, Anirban Mukhopadhyay, Manuel Trenz
2025	J	`jnl`	eNCApsulate: NCA for Precision Diagnosis on Capsule Endoscopes. CoRR Henry John Krumb, Anirban Mukhopadhyay
2024	—	`conf`	ASMR: Angular Support for Malfunctioning Client Resilience in Federated Learning. MIDL Mirko Konstantin, Moritz Fuchs, Anirban Mukhopadhyay
2024	A	`conf`	Continual atlas-based segmentation of prostate MRI. WACV Amin Ranem, Camila González, Daniel Pinto dos Santos, Andreas M. Bucher, Ahmed E. Othman, Anirban Mukhopadhyay
2024	—	`conf`	Cryotrack: Planning and Navigation for Computer Assisted Cryoablation. MICCAI (6) Henry John Krumb, Jonas Mehtali, Juan Verde, Anirban Mukhopadhyay, Caroline Essert
2024	—	`ed.`	Deep Generative Models - Third MICCAI Workshop, DGM4MICCAI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings DGM4MICCAI Anirban Mukhopadhyay, Ilkay Öksüz, Sandy Engelhardt, Dajiang Zhu, Yixuan Yuan
2024	—	`conf`	Detection of Intracranial Hemorrhage for Trauma Patients. ICPR (14) Antoine P. Sanner, Nils F. Grauhan, Merle Meyer, Laura Leukert, Marc A. Brockmann, Ahmed E. Othman, Anirban Mukhopadhyay
2024	J	`jnl`	Detection of Intracranial Hemorrhage for Trauma Patients. CoRR Antoine P. Sanner, Nils F. Grauhan, Marc A. Brockmann, Ahmed E. Othman, Anirban Mukhopadhyay
2024	—	`conf`	Distribution-Aware Replay for Continual MRI Segmentation. AIPAD/PILM@MICCAI Nick Lemke, Camila González, Anirban Mukhopadhyay, Martin Mundt
2024	J	`jnl`	Distribution-Aware Replay for Continual MRI Segmentation. CoRR Nick Lemke, Camila González, Anirban Mukhopadhyay, Martin Mundt
2024	J	`jnl`	Federated Voxel Scene Graph for Intracranial Hemorrhage. CoRR Antoine P. Sanner, Jonathan Stieber, Nils F. Grauhan, Suam Kim, Marc A. Brockmann, Ahmed E. Othman, Anirban Mukhopadhyay
2024	J	`jnl`	Frequency-Time Diffusion with Neural Cellular Automata. CoRR John Kalkhof, Arlene Kühn, Yannik Frisch, Anirban Mukhopadhyay
2024	—	`conf`	HARP: Unsupervised Histopathology Artifact Restoration. MIDL Moritz Fuchs, Ssharvien Kumar R. Sivakumar, Mirko Schöber, Niklas Woltering, Marie-Lisa Eich, Leonille Schweizer, Anirban Mukhopadhyay
2024	—	`conf`	Localized Data Representation with NCA-Based Autoencoders. ICPR (8) Niklas Ihm, John Kalkhof, Anirban Mukhopadhyay
2024	A	`conf`	NCA-Morph: Medical Image Registration with Neural Cellular Automata. BMVC Amin Ranem, John Kalkhof, Anirban Mukhopadhyay
2024	J	`jnl`	NCA-Morph: Medical Image Registration with Neural Cellular Automata. CoRR Amin Ranem, John Kalkhof, Anirban Mukhopadhyay
2024	J	`jnl`	NCAdapt: Dynamic adaptation with domain-specific Neural Cellular Automata for continual hippocampus segmentation. CoRR Amin Ranem, John Kalkhof, Anirban Mukhopadhyay
2024	J	`jnl`	Regulating radiology AI medical devices that evolve in their lifecycle. CoRR Camila González, Moritz Fuchs, Daniel Pinto dos Santos, Philipp Matthies, Manuel Trenz, Maximilian Grüning, Akshay Chaudhari, David B. Larson, Ahmed E. Othman, Moon Kim, Felix Nensa, Anirban Mukhopadhyay
2024	J	`jnl`	Sliding Window Optimal Transport for Open World Artifact Detection in Histopathology. IEEE J. Biomed. Health Informatics Moritz Fuchs, Mirko Konstantin, Nicolas Schrade, Leonille Schweizer, Yuri Tolkach, Anirban Mukhopadhyay
2024	—	`conf`	UnCLe SAM: Unleashing SAM's Potential for Continual Prostate MRI Segmentation. MIDL Amin Ranem, Mohamed Afham Mohamed Aflal, Moritz Fuchs, Anirban Mukhopadhyay
2024	—	`conf`	Unsupervised Training of Neural Cellular Automata on Edge Devices. MICCAI (3) John Kalkhof, Amin Ranem, Anirban Mukhopadhyay
2024	J	`jnl`	Unsupervised Training of Neural Cellular Automata on Edge Devices. CoRR John Kalkhof, Amin Ranem, Anirban Mukhopadhyay
2024	—	`conf`	Voxel Scene Graph for Intracranial Hemorrhage. MICCAI (2) Antoine P. Sanner, Nils F. Grauhan, Marc A. Brockmann, Ahmed E. Othman, Anirban Mukhopadhyay
2024	J	`jnl`	Voxel Scene Graph for Intracranial Hemorrhage. CoRR Antoine P. Sanner, Nils F. Grauhan, Marc A. Brockmann, Ahmed E. Othman, Anirban Mukhopadhyay
2023	J	`jnl`	Continual atlas-based segmentation of prostate MRI. CoRR Amin Ranem, Camila González, Daniel Pinto dos Santos, Andreas M. Bucher, Ahmed E. Othman, Anirban Mukhopadhyay
2023	J	`jnl`	Exploring SAM Ablations for Enhancing Medical Segmentation in Radiology and Pathology. CoRR Amin Ranem, Niklas Babendererde, Moritz Fuchs, Anirban Mukhopadhyay
2023	J	`jnl`	From Pointwise to Powerhouse: Initialising Neural Networks with Generative Models. CoRR Christian Harder, Moritz Fuchs, Yuri Tolkach, Anirban Mukhopadhyay
2023	J	`jnl`	HEX: a safe research framework for hybrid EMT X-ray navigation. Int. J. Comput. Assist. Radiol. Surg. Henry John Krumb, Bernhard Dorweiler, Anirban Mukhopadhyay
2023	J	`jnl`	Jointly Exploring Client Drift and Catastrophic Forgetting in Dynamic Learning. CoRR Niklas Babendererde, Moritz Fuchs, Camila González, Yuri Tolkach, Anirban Mukhopadhyay
2023	—	`conf`	M3D-NCA: Robust 3D Segmentation with Built-In Quality Control. MICCAI (3) John Kalkhof, Anirban Mukhopadhyay
2023	J	`jnl`	M3D-NCA: Robust 3D Segmentation with Built-in Quality Control. CoRR John Kalkhof, Anirban Mukhopadhyay
2023	J	`jnl`	MANGO: low-cost open source needle guidance. Comput. methods Biomech. Biomed. Eng. Imaging Vis. João Victor Galvão da Mata, Henry John Krumb, Utkarsh Mishra, Anirban Mukhopadhyay, Caroline Essert
2023	—	`conf`	Med-NCA: Robust and Lightweight Segmentation with Neural Cellular Automata. IPMI John Kalkhof, Camila González, Anirban Mukhopadhyay
2023	J	`jnl`	Med-NCA: Robust and Lightweight Segmentation with Neural Cellular Automata. CoRR John Kalkhof, Camila González, Anirban Mukhopadhyay
2023	—	`conf`	Synthesising Rare Cataract Surgery Samples with Guided Diffusion Models. MICCAI (9) Yannik Frisch, Moritz Fuchs, Antoine Sanner, Felix Anton Ucar, Marius Frenzel, Joana Wasielica-Poslednik, Adrian Gericke, Felix Mathias Wagner, Thomas Dratsch, Anirban Mukhopadhyay
2023	J	`jnl`	Synthesising Rare Cataract Surgery Samples with Guided Diffusion Models. CoRR Yannik Frisch, Moritz Fuchs, Antoine Sanner, Felix Anton Ucar, Marius Frenzel, Joana Wasielica-Poslednik, Adrian Gericke, Felix Mathias Wagner, Thomas Dratsch, Anirban Mukhopadhyay
2023	J	`jnl`	Temporally consistent sequence-to-sequence translation of cataract surgeries. Int. J. Comput. Assist. Radiol. Surg. Yannik Frisch, Moritz Fuchs, Anirban Mukhopadhyay
2023	J	`jnl`	The state-of-the-art 3D anisotropic intracranial hemorrhage segmentation on non-contrast head CT: The INSTANCE challenge. CoRR Xiangyu Li, Gongning Luo, Kuanquan Wang, Hongyu Wang, Jun Liu, Xinjie Liang, Jie Jiang, Zhenghao Song, Chunyue Zheng, Haokai Chi, Mingwang Xu, Yingte He, Xinghua Ma, Jingwen Guo, Yifan Liu, Chuanpu Li, Zeli Chen, Md Mahfuzur Rahman Siddiquee, Andriy Myronenko, Antoine P. Sanner, Anirban Mukhopadhyay, Ahmed E. Othman, Xingyu Zhao, Weiping Liu, Jinhuang Zhang, Xiangyuan Ma, Qinghui Liu, Bradley J. MacIntosh, Wei Liang, Moona Mazher, Abdul Qayyum, Valeriia Abramova, Xavier Lladó, Shuo Li
2022	—	`conf`	Continual Hippocampus Segmentation with Transformers. CVPR Workshops Amin Ranem, Camila González, Anirban Mukhopadhyay
2022	J	`jnl`	Continual Hippocampus Segmentation with Transformers. CoRR Amin Ranem, Camila González, Anirban Mukhopadhyay
2022	—	`ed.`	Deep Generative Models - Second MICCAI Workshop, DGM4MICCAI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings DGM4MICCAI@MICCAI Anirban Mukhopadhyay, Ilkay Öksüz, Sandy Engelhardt, Dajiang Zhu, Yixuan Yuan
2022	—	`conf`	Detecting Respiratory Motion Artefacts for Cardiovascular MRIs to Ensure High-Quality Segmentation. STACOM@MICCAI Amin Ranem, John Kalkhof, Caner Özer, Anirban Mukhopadhyay, Ilkay Öksüz
2022	J	`jnl`	Detecting respiratory motion artefacts for cardiovascular MRIs to ensure high-quality segmentation. CoRR Amin Ranem, John Kalkhof, Caner Özer, Anirban Mukhopadhyay, Ilkay Öksüz
2022	—	`conf`	Disentanglement Enables Cross-Domain Hippocampus Segmentation. ISBI John Kalkhof, Camila González, Anirban Mukhopadhyay
2022	J	`jnl`	Disentanglement enables cross-domain Hippocampus Segmentation. CoRR John Kalkhof, Camila González, Anirban Mukhopadhyay
2022	J	`jnl`	Distance-based detection of out-of-distribution silent failures for Covid-19 lung lesion segmentation. CoRR Camila González, Karol Gotkowski, Moritz Fuchs, Andreas Bucher, Armin Dadras, Ricarda Fischbach, Isabel Kaltenborn, Anirban Mukhopadhyay
2022	J	`jnl`	Distance-based detection of out-of-distribution silent failures for Covid-19 lung lesion segmentation. Medical Image Anal. Camila González, Karol Gotkowski, Moritz Fuchs, Andreas Bucher, Armin Dadras, Ricarda Fischbach, Isabel J. Kaltenborn, Anirban Mukhopadhyay
2022	—	`conf`	Federated Stain Normalization for Computational Pathology. MICCAI (2) Nicolas Wagner, Moritz Fuchs, Yuri Tolkach, Anirban Mukhopadhyay
2022	J	`jnl`	Federated Stain Normalization for Computational Pathology. CoRR Nicolas Wagner, Moritz Fuchs, Yuri Tolkach, Anirban Mukhopadhyay
2022	J	`jnl`	FrOoDo: Framework for Out-of-Distribution Detection. CoRR Jonathan Stieber, Moritz Fuchs, Anirban Mukhopadhyay
2022	—	`conf`	Improving Robustness and Calibration in Ensembles with Diversity Regularization. GCPR Hendrik Alexander Mehrtens, Camila González, Anirban Mukhopadhyay
2022	J	`jnl`	Improving robustness and calibration in ensembles with diversity regularization. CoRR Hendrik Alexander Mehrtens, Camila González, Anirban Mukhopadhyay
2022	—	`conf`	Practical uncertainty quantification for brain tumor segmentation. MIDL Moritz Fuchs, Camila González, Anirban Mukhopadhyay
2022	—	`conf`	Quality Monitoring of Federated Covid-19 Lesion Segmentation. Bildverarbeitung für die Medizin Camila González, Christian L. Harder, Amin Ranem, Ricarda Fischbach, Isabel J. Kaltenborn, Armin Dadras, Andreas M. Bucher, Anirban Mukhopadhyay
2022	—	`conf`	Task-Agnostic Continual Hippocampus Segmentation for Smooth Population Shifts. DART@MICCAI Camila González, Amin Ranem, Ahmed E. Othman, Anirban Mukhopadhyay
2022	J	`jnl`	Task-agnostic Continual Hippocampus Segmentation for Smooth Population Shifts. CoRR Camila González, Amin Ranem, Ahmed E. Othman, Anirban Mukhopadhyay
2022	—	`conf`	i3Deep: Efficient 3D interactive segmentation with the nnU-Net. MIDL Karol Gotkowski, Camila González, Isabel Kaltenborn, Ricarda Fischbach, Andreas Bucher, Anirban Mukhopadhyay
2021	J	`jnl`	A survey on shape-constraint deep learning for medical image segmentation. CoRR Simon Bohlender, Ilkay Öksüz, Anirban Mukhopadhyay
2021	J	`jnl`	Adversarial Continual Learning for Multi-Domain Hippocampal Segmentation. CoRR Marius Memmel, Camila González, Anirban Mukhopadhyay
2021	—	`conf`	Adversarial Continual Learning for Multi-domain Hippocampal Segmentation. DART/FAIR@MICCAI Marius Memmel, Camila González, Anirban Mukhopadhyay
2021	J	`jnl`	CycleGAN for Interpretable Online EMT Compensation. CoRR Henry John Krumb, Dhritimaan Das, Romol Chadda, Anirban Mukhopadhyay
2021	J	`jnl`	CycleGAN for interpretable online EMT compensation. Int. J. Comput. Assist. Radiol. Surg. Henry John Krumb, Dhritimaan Das, Romol Chadda, Anirban Mukhopadhyay
2021	—	`ed.`	Deep Generative Models, and Data Augmentation, Labelling, and Imperfections - First Workshop, DGM4MICCAI 2021, and First Workshop, DALI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings DGM4MICCAI/DALI@MICCAI Sandy Engelhardt, Ilkay Öksüz, Dajiang Zhu, Yixuan Yuan, Anirban Mukhopadhyay, Nicholas Heller, Sharon Xiaolei Huang, Hien Van Nguyen, Raphael Sznitman, Yuan Xue
2021	—	`conf`	Detecting When Pre-trained nnU-Net Models Fail Silently for Covid-19 Lung Lesion Segmentation. MICCAI (7) Camila González, Karol Gotkowski, Andreas Bucher, Ricarda Fischbach, Isabel Kaltenborn, Anirban Mukhopadhyay
2021	J	`jnl`	Detecting when pre-trained nnU-Net models fail silently for Covid-19 lung lesion segmentation. CoRR Camila González, Karol Gotkowski, Andreas Bucher, Ricarda Fischbach, Isabel Kaltenborn, Anirban Mukhopadhyay
2021	—	`conf`	How Reliable Are Out-of-Distribution Generalization Methods for Medical Image Segmentation? GCPR Antoine Sanner, Camila González, Anirban Mukhopadhyay
2021	J	`jnl`	How Reliable Are Out-of-Distribution Generalization Methods for Medical Image Segmentation? CoRR Antoine Sanner, Camila González, Anirban Mukhopadhyay
2021	—	`conf`	M3d-CAM - A PyTorch Library to Generate 3D Attention Maps for Medical Deep Learning. Bildverarbeitung für die Medizin Karol Gotkowski, Camila González, Andreas Bucher, Anirban Mukhopadhyay
2021	J	`jnl`	Quality monitoring of federated Covid-19 lesion segmentation. CoRR Camila González, Christian Harder, Amin Ranem, Ricarda Fischbach, Isabel Kaltenborn, Armin Dadras, Andreas Bucher, Anirban Mukhopadhyay
2021	—	`conf`	Self-supervised Out-of-distribution Detection for Cardiac CMR Segmentation. MIDL Camila González, Anirban Mukhopadhyay
2021	J	`jnl`	Simulation-to-Real domain adaptation with teacher-student learning for endoscopic instrument segmentation. CoRR Manish Sahu, Anirban Mukhopadhyay, Stefan Zachow
2021	J	`jnl`	Simulation-to-real domain adaptation with teacher-student learning for endoscopic instrument segmentation. Int. J. Comput. Assist. Radiol. Surg. Manish Sahu, Anirban Mukhopadhyay, Stefan Zachow
2020	—	`conf`	AutoSNAP: Automatically Learning Neural Architectures for Instrument Pose Estimation. MICCAI (3) David Kügler, Marc Uecker, Arjan Kuijper, Anirban Mukhopadhyay
2020	J	`jnl`	AutoSNAP: Automatically Learning Neural Architectures for Instrument Pose Estimation. CoRR David Kügler, Marc Uecker, Arjan Kuijper, Anirban Mukhopadhyay
2020	—	`conf`	Endo-Sim2Real: Consistency Learning-Based Domain Adaptation for Instrument Segmentation. MICCAI (3) Manish Sahu, Ronja Strömsdörfer, Anirban Mukhopadhyay, Stefan Zachow
2020	J	`jnl`	Endo-Sim2Real: Consistency learning-based domain adaptation for instrument segmentation. CoRR Manish Sahu, Ronja Strömsdörfer, Anirban Mukhopadhyay, Stefan Zachow
2020	J	`jnl`	GANs for medical image analysis. Artif. Intell. Medicine Salome Kazeminia, Christoph Baur, Arjan Kuijper, Bram van Ginneken, Nassir Navab, Shadi Albarqouni, Anirban Mukhopadhyay
2020	J	`jnl`	Leveraging spatial uncertainty for online error compensation in EMT. Int. J. Comput. Assist. Radiol. Surg. Henry John Krumb, Sofie Hofmann, David Kügler, Ahmed Ghazy, Bernhard Dorweiler, Judith Bredemann, Robert H. Schmitt, Georgios Sakas, Anirban Mukhopadhyay
2020	J	`jnl`	M3d-CAM: A PyTorch library to generate 3D data attention maps for medical deep learning. CoRR Karol Gotkowski, Camila González, Andreas Bucher, Anirban Mukhopadhyay
2020	J	`jnl`	Retrospective in silico evaluation of optimized preoperative planning for temporal bone surgery. Int. J. Comput. Assist. Radiol. Surg. Johannes Fauser, Simon Bohlender, Igor Stenin, Julia Kristin, Thomas Klenzner, Jörg Schipper, Anirban Mukhopadhyay
2020	J	`jnl`	Super-Selfish: Self-Supervised Learning on Images with PyTorch. CoRR Nicolas Wagner, Anirban Mukhopadhyay
2020	J	`jnl`	Understanding Interpretability by generalized distillation in Supervised Classification. CoRR Adit Agarwal, K. K. Shukla, Arjan Kuijper, Anirban Mukhopadhyay
2020	J	`jnl`	What is Wrong with Continual Learning in Medical Image Segmentation? CoRR Camila González, Georgios Sakas, Anirban Mukhopadhyay
2020	J	`jnl`	i3PosNet: instrument pose estimation from X-ray in temporal bone surgery. Int. J. Comput. Assist. Radiol. Surg. David Kügler, Jannik Sehring, Andrei Stefanov, Igor Stenin, Julia Kristin, Thomas Klenzner, Jörg Schipper, Anirban Mukhopadhyay
2019	J	`jnl`	Habitat-Net: Segmentation of habitat images using deep learning. Ecol. Informatics Jesse F. Abrams, Anand Vashishtha, Seth T. Wong, An Nguyen, Azlan Mohamed, Sebastian Wieser, Arjan Kuijper, Andreas Wilting, Anirban Mukhopadhyay
2019	J	`jnl`	High-precision evaluation of electromagnetic tracking. Int. J. Comput. Assist. Radiol. Surg. David Kügler, Henry John Krumb, Judith Bredemann, Igor Stenin, Julia Kristin, Thomas Klenzner, Jörg Schipper, Robert H. Schmitt, Georgios Sakas, Anirban Mukhopadhyay
2019	—	`conf`	Optimizing Clearance of Bézier Spline Trajectories for Minimally-Invasive Surgery. MICCAI (5) Johannes Fauser, Igor Stenin, Julia Kristin, Thomas Klenzner, Jörg Schipper, Anirban Mukhopadhyay
2019	J	`jnl`	Planning for Flexible Surgical Robots via Bézier Spline Translation. IEEE Robotics Autom. Lett. Johannes Fauser, Romol Chadda, Yannik Goergen, Markus Hessinger, Paul Motzki, Igor Stenin, Julia Kristin, Thomas Klenzner, Jörg Schipper, Stefan Seelecke, Roland Werthschützky, Mario Kupnik, Anirban Mukhopadhyay
2019	—	`conf`	Preoperative Planning for Guidewires Employing Shape-Regularized Segmentation and Optimized Trajectories. OR/MLCN@MICCAI Johannes Fauser, Moritz Fuchs, Ahmed Ghazy, Bernhard Dorweiler, Anirban Mukhopadhyay
2019	J	`jnl`	Putting Trust First in the Translation of AI for Healthcare. ERCIM News Anirban Mukhopadhyay, David Kügler, Andreas Bucher, Dieter W. Fellner, Thomas M. Vogl
2019	J	`jnl`	Toward an automatic preoperative pipeline for image-guided temporal bone surgery. Int. J. Comput. Assist. Radiol. Surg. Johannes Fauser, Igor Stenin, Markus Bauer, Wei-Hung Hsu, Julia Kristin, Thomas Klenzner, Jörg Schipper, Anirban Mukhopadhyay
2018	J	`jnl`	A Theory of Diagnostic Interpretation in Supervised Classification. CoRR Anirban Mukhopadhyay
2018	J	`jnl`	An efficient Riemannian statistical shape model using differential coordinates: With application to the classification of data from the Osteoarthritis Initiative. Medical Image Anal. Christoph von Tycowicz, Felix Ambellan, Anirban Mukhopadhyay, Stefan Zachow
2018	J	`jnl`	Deep Spectral Correspondence for Matching Disparate Image Pairs. CoRR Arun C. S. Kumar, Shefali Srivastava, Anirban Mukhopadhyay, Suchendra M. Bhandarkar
2018	—	`conf`	Exploring Adversarial Examples - Patterns of One-Pixel Attacks. MLCN/DLF/iMIMIC@MICCAI David Kügler, Alexander Distergoft, Arjan Kuijper, Anirban Mukhopadhyay
2018	J	`jnl`	Exploring Adversarial Examples: Patterns of One-Pixel Attacks. CoRR David Kügler, Alexander Distergoft, Arjan Kuijper, Anirban Mukhopadhyay
2018	J	`jnl`	GANs for Medical Image Analysis. CoRR Salome Kazeminia, Christoph Baur, Arjan Kuijper, Bram van Ginneken, Nassir Navab, Shadi Albarqouni, Anirban Mukhopadhyay
2018	—	`conf`	Generalized Trajectory Planning for Nonlinear Interventions. OR 2.0/CARE/CLIP/ISIC@MICCAI Johannes Fauser, Igor Stenin, Julia Kristin, Thomas Klenzner, Jörg Schipper, Dieter W. Fellner, Anirban Mukhopadhyay
2018	J	`jnl`	How Bad is Good enough: Noisy annotations for instrument pose estimation. CoRR David Kügler, Anirban Mukhopadhyay
2018	—	`conf`	Instrument Pose Estimation Using Registration for Otobasis Surgery. WBIR David Kügler, Martin Andrade Jastrzebski, Anirban Mukhopadhyay
2018	J	`jnl`	Planning Nonlinear Access Paths for Temporal Bone Surgery. CoRR Johannes Fauser, Georgios Sakas, Anirban Mukhopadhyay
2018	J	`jnl`	Planning nonlinear access paths for temporal bone surgery. Int. J. Comput. Assist. Radiol. Surg. Johannes Fauser, Georgios Sakas, Anirban Mukhopadhyay
2018	J	`jnl`	Statistical Shape Modeling of the Left Ventricle: Myocardial Infarct Classification Challenge. IEEE J. Biomed. Health Informatics Avan Suinesiaputra, Pierre Ablin, Xènia Albà, Martino Alessandrini, Jack Allen, Wenjia Bai, Serkan Çimen, Peter Claes, Brett R. Cowan, Jan D'hooge, Nicolas Duchateau, Jan Ehrhardt, Alejandro F. Frangi, Ali Gooya, Vicente Grau, Karim Lekadir, Allen Lu, Anirban Mukhopadhyay, Ilkay Öksüz, Nripesh Parajuli, Xavier Pennec, Marco Pereañez, Catarina Pinto, Paolo Piras, Marc-Michel Rohé, Daniel Rueckert, Dennis Säring, Maxime Sermesant, Kaleem Siddiqi, Mahdi Tabassian, Luciano Teresi, Sotirios A. Tsaftaris, Matthias Wilms, Alistair A. Young, Xingyu Zhang, Pau Medrano-Gracia
2018	J	`jnl`	i3PosNet: Instrument Pose Estimation from X-Ray. CoRR David Kügler, Andrei Stefanov, Anirban Mukhopadhyay
2017	J	`jnl`	Addressing multi-label imbalance problem of surgical tool detection using CNN. Int. J. Comput. Assist. Radiol. Surg. Manish Sahu, Anirban Mukhopadhyay, Angelika Szengel, Stefan Zachow
2017	J	`jnl`	Biharmonic density estimate: a scale-space descriptor for 3-D deformable surfaces. Pattern Anal. Appl. Anirban Mukhopadhyay, Suchendra M. Bhandarkar
2017	J	`jnl`	Unsupervised Myocardial Segmentation for Cardiac BOLD. IEEE Trans. Medical Imaging Ilkay Öksüz, Anirban Mukhopadhyay, Rohan Dharmakumar, Sotirios A. Tsaftaris
2016	B	`conf`	Detection and characterization of Intrinsic symmetry of 3D shapes. ICPR Anirban Mukhopadhyay, Suchendra M. Bhandarkar, Fatih Porikli
2016	A	`conf`	Joint geometric graph embedding for partial shape matching in images. WACV Anirban Mukhopadhyay, Arun C. S. Kumar, Suchendra M. Bhandarkar
2016	—	`conf`	Robust and Accurate Appearance Models Based on Joint Dictionary Learning Data from the Osteoarthritis Initiative - Data from the Osteoarthritis Initiative. Patch-MI@MICCAI Anirban Mukhopadhyay, Oscar Salvador Morillo Victoria, Stefan Zachow, Hans Lamecker
2016	J	`jnl`	Tool and Phase recognition using contextual CNN features. CoRR Manish Sahu, Anirban Mukhopadhyay, Angelika Szengel, Stefan Zachow
2016	—	`conf`	Total Variation Random Forest: Fully Automatic MRI Segmentation in Congenital Heart Diseases. RAMBO+HVSMR@MICCAI Anirban Mukhopadhyay
2015	—	`conf`	Data-Driven Feature Learning for Myocardial Segmentation of CP-BOLD MRI. FIMH Anirban Mukhopadhyay, Ilkay Öksüz, Marco Bevilacqua, Rohan Dharmakumar, Sotirios A. Tsaftaris
2015	—	`conf`	Dictionary Learning Based Image Descriptor for Myocardial Registration of CP-BOLD MR. MICCAI (2) Ilkay Öksüz, Anirban Mukhopadhyay, Marco Bevilacqua, Rohan Dharmakumar, Sotirios A. Tsaftaris
2015	J	`jnl`	Morphological Analysis of the Left Ventricular Endocardial Surface Using a Bag-of-Features Descriptor. IEEE J. Biomed. Health Informatics Anirban Mukhopadhyay, Zhen Qian, Suchendra M. Bhandarkar, Tianming Liu, Szilard Voros, Sarah Rinehart
2015	—	`conf`	Supervised Learning of Functional Maps for Infarct Classification. STACOM@MICCAI Anirban Mukhopadhyay, Ilkay Öksüz, Sotirios A. Tsaftaris
2015	—	`conf`	Unsupervised Myocardial Segmentation for Cardiac MRI. MICCAI (3) Anirban Mukhopadhyay, Ilkay Öksüz, Marco Bevilacqua, Rohan Dharmakumar, Sotirios A. Tsaftaris
2014	B	`conf`	Biharmonic density estimate - A scale space signature for deformable surfaces. ICIP Anirban Mukhopadhyay, Suchendra M. Bhandarkar
2014	—	`—`	Geometric analysis of shapes and its application to medical image analysis. Anirban Mukhopadhyay
2013	J	`jnl`	Detection and Characterization of Intrinsic Symmetry. CoRR Anirban Mukhopadhyay, Suchendra M. Bhandarkar, Fatih Porikli
2013	J	`jnl`	Morphological Analusis Of The Left Ventricular Eendocardial Surface Using A Bag-Of-Features Descriptor CoRR Anirban Mukhopadhyay, Zhen Qian, Suchendra M. Bhandarkar, Tianming Liu, Sarah Rinehart, Szilard Voros
2012	—	`conf`	Morphological Analysis of the Left Ventricular Endocardial Surface and Its Clinical Implications. MICCAI (2) Anirban Mukhopadhyay, Zhen Qian, Suchendra M. Bhandarkar, Tianming Liu, Sarah Rinehart, Szilard Voros
2012	—	`conf`	Non-rigid shape correspondence and description using geodesic field estimate distribution. SIGGRAPH Posters Austin T. New, Anirban Mukhopadhyay, Hamid R. Arabnia, Suchendra M. Bhandarkar
2011	—	`conf`	Shape Analysis of the Left Ventricular Endocardial Surface and Its Application in Detecting Coronary Artery Disease. FIMH Anirban Mukhopadhyay, Zhen Qian, Suchendra M. Bhandarkar, Tianming Liu, Szilard Voros